Blogs

What's Next For Me

I’ve been a bit unsure about how personal this blog ought to be, and what qualifies as “significant” enough to post. A lot of changes are coming up soon for me, though, and this feels like a good place to document.

Applying to Graduate School in Statistics and Biostatistics

There were all sorts of tips and tricks about applying to grad school that I was only able to learn about via office hours, personal meetings, and Twitter DMs, and I thought it would be worth publicly compiling some lessons learned.

Running R Scripts on a Schedule with GitHub Actions

Some pointers on running R scripts and committing their results to a GitHub repository on a regular interval using Actions.

{stacks} v0.1.0 is on CRAN!

Introducing ensemble learning to the tidymodels.

Programatically Generating PDF Reports with the Tidyverse

In a few different roles over the past few years, I’ve come across the problem of programatically generating some kind of PDF reports from data. Here are some tips/tricks I’ve come across while making that happen.

A Gentle Introduction to Tidy Model Stacking

Model stacking is an ensembling technique that involves training a model to combine the outputs of many diverse statistical models. The stacks package implements a grammar for tidymodels-aligned model stacking.

The Blog Thing! We're Doing It!

For a while now, I’ve wished I had a place to share some short posts on what I’m up to related to R, data science, and statistics. I decided I’d take a Sunday to get this subdomain up and running!